Composite control for biaxial traction-type full-scale fatigue testing of wind turbine blades

Full-scale blade fatigue testing requires accurate reproduction of the dominant fatigue response under actuator constraints. This study develops a composite controller for biaxial traction-type testing. A displacement-dependent map converts principal-axis force demand into non-negative cable tensions. Frequency-shaped LQR limits concentrated and high-frequency feedback corrections, while periodic amplitude compensation updates half-wave excitation from the preceding-cycle amplitude error. Simulink–Adams co-simulation gave a mean biaxial amplitude error of 0.54%, a mean NRMSE of 2.50%, and overshoot below 1% under nominal conditions. With 20% feedforward underestimation, PAC reduced flapwise and edgewise amplitude errors from 7.49% and 4.53% to 0.30% and 0.31%. Across R0–R4, mean amplitude errors did not exceed 0.72%. The controller gave smaller nominal amplitude errors than PID and the selected MPC benchmark. Its maximum measured execution time was 1.14 ms for a 25 ms control period.

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Publication Details

Journal
Wind Engineering
Published
2026-09-11
DOI
https://doi.org/10.1177/0309524x261488533
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
0.00

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article

Composite control for biaxial traction-type full-scale fatigue testing of wind turbine blades

Xiufeng Xu, Jianzhong Wu, Xinrui Li, Jinlei Shi et al.
Wind Engineering
Wind Energy Research and Development
article

Composite control for biaxial traction-type full-scale fatigue testing of wind turbine blades

Xiufeng Xu, Jianzhong Wu, Xinrui Li, Jinlei Shi, Yutian Zhu, Yuanxiang Zhang, Yi Ma, Aiguo Zhou
article en

Abstract

Full-scale blade fatigue testing requires accurate reproduction of the dominant fatigue response under actuator constraints. This study develops a composite controller for biaxial traction-type testing. A displacement-dependent map converts principal-axis force demand into non-negative cable tensions. Frequency-shaped LQR limits concentrated and high-frequency feedback corrections, while periodic amplitude compensation updates half-wave excitation from the preceding-cycle amplitude error. Simulink–Adams co-simulation gave a mean biaxial amplitude error of 0.54%, a mean NRMSE of 2.50%, and overshoot below 1% under nominal conditions. With 20% feedforward underestimation, PAC reduced flapwise and edgewise amplitude errors from 7.49% and 4.53% to 0.30% and 0.31%. Across R0–R4, mean amplitude errors did not exceed 0.72%. The controller gave smaller nominal amplitude errors than PID and the selected MPC benchmark. Its maximum measured execution time was 1.14 ms for a 25 ms control period.

Wind Engineering
Tongji University (CN)
Yancheng Science and Technology Bureau
Affordable and clean energy
Openalex Percentile: Top 7%
Wind Energy Research and Development
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Composite control for biaxial traction-type full-scale fatigue testing of wind turbine blades — Xiufeng Xu, Jianzhong Wu, et al. · Wind Engineering (2026) | TGRS Research Map | TGRS